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ITGSS CERTIFIED PROFFESIONAL DATA SCIENTIST EXAM LATEST VERSION
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ITGSS CERTIFIED PROFFESIONAL DATASCIENTIST EXAM LATEST VERSION
adaptive analytics - ANSWER applying this to your strategies will
enable them to detect changes in customer behavior as they occur and
act on them immediately.
Pega Adaptive Decision Manager (ADM) - ANSWER a component that
allows you to build self-learning adaptive models that continuously
improve predictions for a customer.
It can automatically detect changes in customer behavior and act on
them in real time.
Adaptive Models - ANSWER created in Prediction Studio
must have positive and negative outcomes values
Pedictor Types - ANSWER Symbolic
Numeric
3 outputs of an Adaptive Model - ANSWER 1. Propensity - This is the
predicted likelihood of positive behavior. Such as, the likelihood of a
customer accepting an offer. The propensity for every action starts at 0.5
or 50% (the same as a flip of a coin) because in the beginning the model
has no response behavior on which to base its predictions.
2. Performance - This is how well the model can differentiate between
positive and negative behavior. Again, the initial value is 50%, with
100% being perfect performance. Therefore, the performance value
should be somewhere between 50 and 100.
3. Evidence - The number of responses used in the calculation of the
Propensity.
Propensity - ANSWER likelihood of positive behavior. Such as, the
likelihood of a customer accepting an offer.
, Performance - ANSWER This is how well the model can differentiate
between positive and negative behavior.
Evidence - ANSWER The number of responses used in the calculation
of the Propensity.
Smoothing propensity - ANSWER the concept that facilitates usage of
a model at the beginning of its use.
requires an assumed starting propensity and an assumed amount of
starting evidence
Predictors report - ANSWER report where you can examine the
performance of individual predictors across all adaptive models
Score distribution report - ANSWER report that enables you to examine
the propensity distribution for the whole model.
Trend report - ANSWER you can see the performance of the model
over time.
When is an Adaptive model created? - ANSWER A strategy that
contains an Adaptive Model component is executed.
Monte Carlo Data Sets - ANSWER primarily used to create test data for
use in application testing.
enables you to generate random data for most of your application needs
or, when this is not adequate, you can also use decisioning rules to
generate specific data.
Decision Rules that can be included in Monte Carlo Data sets -
ANSWER Decision Table, Scorecards, Decision trees and Predictive
models, as well as expressions.
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